SabaPivot commited on
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1 Parent(s): dc63099

Update logbook: Repro - Who Said Neural Networks Aren't Linear?

Browse files
logbook.json CHANGED
@@ -10,7 +10,7 @@
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  "icml2026-repro",
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  "paper-Eqm5VEaAom"
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  ],
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- "updated_at": "2026-07-16T07:38:23+00:00",
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  "root": {
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  "slug": "index",
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  "title": "Repro - Who Said Neural Networks Aren't Linear?",
@@ -60,6 +60,6 @@
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  }
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  ]
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  },
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- "agent_view_tokens": 9480,
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- "revision": "1784187503821248547"
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  }
 
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  "icml2026-repro",
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  "paper-Eqm5VEaAom"
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  ],
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+ "updated_at": "2026-07-16T07:42:12+00:00",
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  "root": {
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  "slug": "index",
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  "title": "Repro - Who Said Neural Networks Aren't Linear?",
 
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  }
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  ]
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  },
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+ "agent_view_tokens": 9871,
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+ "revision": "1784187732707641115"
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  }
pages/conclusion/page.md CHANGED
@@ -505,3 +505,28 @@ trackio-artifact://linearizer-repro/repro-bundle:v1
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  }
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  ````
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ````
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+
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+
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+ ---
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+ <!-- trackio-cell
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+ {"type": "code", "id": "cell_6f71a5d2fa7d", "created_at": "2026-07-16T07:42:08+00:00", "title": "Build final traveling reproduction artifact v2", "command": ["/home/ubuntu/samuel/repro/.venv/bin/python", "-c", "import trackio; a=trackio.Artifact(name=\"repro-bundle\", type=\"dataset\", description=\"Final Linearizer reproduction: exact algebra, trained 454,512-parameter real-MNIST idempotent projector with held-out/OOD controls, exact Euler collapse and labeled cached-RK approximation, direct learned-core matrix interpolation, raw outputs, checkpoints, strict-gated poster, manifest, and rerun instructions.\"); a.add_dir(\"repro_bundle_v2\"); trackio.init(project=\"linearizer-repro\", name=\"artifact-upload-final-v2\"); r=trackio.log_artifact(a, aliases=[\"latest\", \"corrected-real-mnist\", \"direct-core-blend\"]); print(\"ARTIFACT=%s/%s:%s FILES=%d BYTES=%d\" % (r.project, r.name, r.version, len(r.manifest), r.size)); trackio.finish()"], "exit_code": 0, "duration_s": 2.545}
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+ -->
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+ ````bash
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+ $ /home/ubuntu/samuel/repro/.venv/bin/python -c 'import trackio; a=trackio.Artifact(name="repro-bundle", type="dataset", description="Final Linearizer reproduction: exact algebra, trained 454,512-parameter real-MNIST idempotent projector with held-out/OOD controls, exact Euler collapse and labeled cached-RK approximation, direct learned-core matrix interpolation, raw outputs, checkpoints, strict-gated poster, manifest, and rerun instructions."); a.add_dir("repro_bundle_v2"); trackio.init(project="linearizer-repro", name="artifact-upload-final-v2"); r=trackio.log_artifact(a, aliases=["latest", "corrected-real-mnist", "direct-core-blend"]); print("ARTIFACT=%s/%s:%s FILES=%d BYTES=%d" % (r.project, r.name, r.version, len(r.manifest), r.size)); trackio.finish()'
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+ ````
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+
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+ exit 0 · 2.5s
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+
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+
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+ ````output
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+ * Trackio project initialized: linearizer-repro
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+ * Trackio metrics logged to: /home/ubuntu/.cache/huggingface/trackio
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+ * View dashboard by running in your terminal:
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+ trackio show --project "linearizer-repro"
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+ * or by running in Python: trackio.show(project="linearizer-repro")
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+ * psutil detected, enabling automatic CPU/system metrics logging
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+ * Created new run: artifact-upload-final-v2
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+ ARTIFACT=linearizer-repro/repro-bundle:v2 FILES=47 BYTES=49618046
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+ * Run finished. Uploading logs to Trackio (please wait...)
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+
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+ ````
pages/linearizer-repro/page.md CHANGED
@@ -17,3 +17,12 @@ https://huggingface.co/buckets/SabaPivot/repro-linearizer-artifacts#linearizer-r
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  **📦 Artifact** `linearizer-repro/repro-bundle:v1` · dataset · 0.04 GB
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  trackio-artifact://linearizer-repro/repro-bundle:v1
 
 
 
 
 
 
 
 
 
 
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  **📦 Artifact** `linearizer-repro/repro-bundle:v1` · dataset · 0.04 GB
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  trackio-artifact://linearizer-repro/repro-bundle:v1
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+
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+
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+ ---
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+ <!-- trackio-cell
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+ {"type": "artifact", "id": "cell_045d76b8c813", "created_at": "2026-07-16T07:42:06+00:00", "title": "Artifact: linearizer-repro/repro-bundle:v2", "artifact": "linearizer-repro/repro-bundle:v2", "artifact_type": "dataset"}
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+ -->
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+ **📦 Artifact** `linearizer-repro/repro-bundle:v2` · dataset · 0.05 GB
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+
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+ trackio-artifact://linearizer-repro/repro-bundle:v2